Agustín Castro
Machine Learning Engineer at Tryolabs
Montevideo, Montevideo, Uruguay
Summary
🤩
Rockstar🎓
Top SchoolAgustín Castro is a Machine Learning Engineer based in Montevideo with five years of experience applying mathematical rigor to production ML at Tryolabs. He combines a strong academic foundation—currently pursuing a PhD in Mathematics after earning an MSc (Distinction) in Applied Mathematics from Cambridge—with hands-on engineering across multiple stints at Tryolabs. His background in electrical engineering and experience tutoring differential equations and probability give him a rare ability to translate advanced theoretical concepts into pragmatic models and reliable implementations. Comfortable in both research and applied settings, he excels at bridging mathematical theory and engineering constraints to deliver impactful ML solutions.
5 years of coding experience
2 years of employment as a software developer
Master of Advanced Study, Applied Mathematics, Distinction, Master of Advanced Study, Applied Mathematics, Distinction at University of CambridgePhD, Mathematics, PhD, Mathematics at Universidad de la República
English
Github Skills (9)
re-identification10
multi-object-tracking10
object-tracking10
object-detection10
tracking-algorithm10
video-tracking10
python10
kalman-filter10
pose-estimation10
Programming languages (2)
Github contributions (5)
tryolabs/tintin-challenge-tryolabs-latam
Jun 2024 - Jun 2024
Contributions:26 PRs, 34 pushes, 16 branches in 3 days
gfugante/norfair
Oct 2023 - Jan 2024
Lightweight Python library for adding real-time multi-object tracking to any detector.
Contributions:7 pushes in 3 months
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